Abstract

Visualizing multi-dimensional crop modeling outputs
Track: Sustainable Development and Humanitarian Affairs
Authors: Jawoo Koo

The HarvestChoice project (harvestchoice.org) uses crop models to simulate location-specific growth and yield of crops based on the biophysical input datasets for Sub-Saharan Africa (SSA) on 5' grids. The result of simulations is analyzed to estimate the potential crop productivity changes under different scenarios of farm management and environmental impacts. The simulation scenarios typically include factorial combination of many possible input variables (e.g., ranges of fertilizer and irrigation applications) per grid cell and generate multi-dimensional data easily exceeding millions of records, which presents technical challenge to researchers who trained to use desktop spreadsheet applications for data analysis and visualizations and vector polygons to create maps. This talk will present experimental methods being developed to help researchers to organize and visualize the data quickly on ArcGIS Desktop, as well as to publish the data on the web with user-interface to select dimension and dynamically map the analysis results using ArcGIS Server.